Online groceries

Virtual bundle & cross-sell analysis

Track the virtual bundles and cross-sell suggestions online grocers use to grow basket value, and see how they shape customer purchasing paths. These offers shift with user segmentation, browsing history, and location, so they are hard to capture consistently. We collect them, so you can see which products your competitors pair and suggest.

Enterprise scraping and matching from 5,000+ sources.

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  • Uber Eats
  • Getir
  • Eventim
  • Booking.com
  • Audible
  • Skyscanner
Common problems

Bundle offers change by shopper and location

An in-house pipeline for virtual bundle analysis struggles with the volume and constant change of online grocery catalogs, promotional offers, and pricing. Without expert data scraping, data matching, and proxy management, it uses up engineering time and still returns inconsistent data.

Bundles personalized by segment

Online grocery platforms adjust virtual bundles and cross-sell recommendations by user segmentation, browsing history, or location. Clients struggle to capture these short-lived, personalized offers consistently, often reporting, "We cannot get a complete picture of competitor bundling and cross-sell tactics."

Promotions that leave order value behind

Without granular data on competitor bundling and cross-sell strategies, online grocers risk weak promotions, a lower average order value, and lost market share. Revenue growth and competitive positioning suffer in a fiercely contested market.

IP blocks, CAPTCHAs, and layout changes

Online grocery websites and apps deploy sophisticated anti-bot mechanisms, frequent layout changes, and dynamic content loading. The usual outcome is IP blocks, CAPTCHAs, or misleading data, and non-specialist teams find stable data pipelines at scale hard to maintain.

Engineering talent spent on scraping

In-house scraping infrastructure for a use case as complex as virtual bundle and cross-sell analysis pulls high-value engineering talent from core product development. Operational costs escalate, project timelines slip, and the focus on strategic innovation and differentiation weakens.

Our solutions

Virtual bundle and cross-sell data, ready for analysis

Bundles and cross-sells change with segment, history, and location, so we scrape them in context, match them to products, and check them manually and with automated QA. The data arrives ready for analysis.

Bundles captured across user segments

Our scraping and matching algorithms capture virtual bundles and cross-sell offers as they change. The data gives you an accurate overview of competitor strategies, whatever the user segment or geography.

Higher average order value

Your teams can use granular data to shape bundling and cross-sell strategies, find untapped revenue streams, and keep pricing competitive. The payoff shows in average order value, customer loyalty, and overall market performance.

Bundle feed under a 99.9% uptime SLA

Specialized infrastructure handles dynamic content, gets past complex anti-bot measures, and manages proxies. The feed stays reliable and high-volume even from the most challenging online grocery platforms, backed by a 99.9% uptime SLA.

No in-house scraping team to staff

Outsourcing data acquisition to us removes the overhead of building and maintaining a dedicated scraping team. You can refocus your high-value engineering talent entirely on core product innovation and strategic initiatives.

Other use cases

Related online grocery data use cases

Besides virtual bundle and cross-sell analysis, our team runs data scraping, advanced data matching, and full infrastructure management for the online groceries use cases below, all for enterprise clients.

Out-of-stock (OOS) & availability alerts

See which competitor grocery products go out of stock and which delivery slots fill up, platform by platform. Book a demo.

Online groceries

Numeric distribution (ND) & product density

See where your brand is thin on the shelf with numeric distribution and product density across online grocery storefronts. Book a demo.

Online groceries

KVI & basket value analysis

Find the price-sensitive products that drive online grocery spending and cart value, matched across grocers. Book a demo.

Online groceries

Inventory turnover signals

Anticipate market shifts by seeing how quickly online grocery competitors move stock, from fresh produce to shelf-stable goods. Book a demo.

Online groceries

Delivery areas & dark store locations

Plan your expansion with the delivery areas and dark store locations of online grocery competitors.

Online groceries

Competitor ratings & review sentiment

Learn where shoppers rate rival online grocery services higher or lower, from platforms, social media, and app stores. Book a demo today.

Online groceries

Cart fees & service surcharges

See how rival online grocers price the cart, with delivery, service, and small order fees by location and basket size. Book a demo today.

Online groceries

Average ETA vs. distance

Average ETA vs. distance data for online groceries: competitor delivery estimates by distance, from our managed data service. Book a demo today.

Online groceries

Assortment gap analysis

Assortment gap data for online groceries: find the products and categories competitors offer and you do not, from our managed service. Book a demo.

Online groceries

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Plan your bundle and cross-sell data feed

If you want a clear view of competitor bundling, a dedicated online groceries specialist with deep expertise in virtual bundle and cross-sell analysis will discuss your specific competitive intelligence requirements.

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